NnNormalization.cxx File Reference

#include "SiClusterizationTool/NnNormalization.h"
#include "SiClusterizationToolNormalizationException.h"
#include <cmath>
#include <limits>

Include dependency graph for NnNormalization.cxx:

Go to the source code of this file.

Functions
bool	roughlyEqual (const double d, const double target, const double tolerance=0.001)
double	norm_rawToT (const double input)
double	back_rawToT (const double input)
double	norm_ToT (const double input)
double	back_ToT (const double input)
double	norm_pitch (const double input, const bool addIBL)
double	back_pitch (const double input, const bool addIBL)
double	norm_layerNumber (const double input)
double	back_layerNumber (const double input)
double	norm_layerType (const double input)
double	back_layerType (const double input)
double	norm_phi (const double input)
double	back_phi (const double input)
double	norm_theta (const double input)
double	back_theta (const double input)
double	norm_phiBS (const double input)
double	back_phiBS (const double input)
double	norm_thetaBS (const double input)
double	back_thetaBS (const double input)
double	norm_etaModule (const double input)
double	back_etaModule (const double input)
double	norm_posX (const double input, const bool recenter)
double	back_posX (const double input, const bool recenter)
double	norm_posY (const double input)
double	back_posY (const double input)
double	norm_errorX (const double input)
double	back_errorX (const double input)
double	norm_errorY (const double input)
double	back_errorY (const double input)
double	errorHalfIntervalX (const int nParticles)
double	errorHalfIntervalY (const int nParticles)

Function Documentation

back_errorX()

double back_errorX

(

const double

input

)

Definition at line 128 of file NnNormalization.cxx.

                                      {
  return input*0.001+0.0005;
}

back_errorY()

double back_errorY

(

const double

input

)

Definition at line 136 of file NnNormalization.cxx.

                                      {
  return input*0.048+0.018;
}

back_etaModule()

double back_etaModule

(

const double

input

)

Definition at line 104 of file NnNormalization.cxx.

                                         {
  return input*2.;
}

back_layerNumber()

double back_layerNumber

(

const double

input

)

Definition at line 61 of file NnNormalization.cxx.

                                           {
  return input*0.8+0.95;
}

back_layerType()

double back_layerType

(

const double

input

)

Definition at line 67 of file NnNormalization.cxx.

                                         {
  return input*0.65;
}

back_phi()

double back_phi

(

const double

input

)

Definition at line 75 of file NnNormalization.cxx.

                                   {
  return input*0.1+0.1;
}

back_phiBS()

double back_phiBS

(

const double

input

)

Definition at line 90 of file NnNormalization.cxx.

                                     {
  return input*0.1+0.1;
}

back_pitch()

double back_pitch	(	const double	input,
		const bool	addIBL
	)

Definition at line 45 of file NnNormalization.cxx.

                                                       {
  if (!addIBL){
    if (roughlyEqual(input,-0.5)) return 0.4;
    if (roughlyEqual(input,0.5))  return 0.6;
    return std::numeric_limits<double>::quiet_NaN();
    //throw SiClusterizationToolNormalizationException();
    //return 0; //never reached!
  } else {
    return input*0.10+0.37;
  }
}

back_posX()

double back_posX	(	const double	input,
		const bool	recenter
	)

Definition at line 113 of file NnNormalization.cxx.

                                                        {
  if (recenter) return input*0.41;
  return input*0.41+(-0.58);
}

back_posY()

double back_posY

(

const double

input

)

Definition at line 122 of file NnNormalization.cxx.

                                    {
  return input*0.34+0.;
}

back_rawToT()

double back_rawToT

(

const double

input

)

Definition at line 20 of file NnNormalization.cxx.

                                      {
  return input*12.+21.;
}

back_theta()

double back_theta

(

const double

input

)

Definition at line 83 of file NnNormalization.cxx.

                                     {
  return input*0.8;
}

back_thetaBS()

double back_thetaBS

(

const double

input

)

Definition at line 98 of file NnNormalization.cxx.

                                       {
  return input*0.8;
}

back_ToT()

double back_ToT

(

const double

input

)

Definition at line 28 of file NnNormalization.cxx.

                                   {
  return input*15000.+15000.;
}

errorHalfIntervalX()

double errorHalfIntervalX

(

const int

nParticles

)

Definition at line 140 of file NnNormalization.cxx.

                                               {
    return (nParticles==1) ? 0.03:0.05;
}

errorHalfIntervalY()

double errorHalfIntervalY

(

const int

nParticles

)

Definition at line 144 of file NnNormalization.cxx.

                                               {
    return (nParticles==1) ? 0.3:0.4;
}

norm_errorX()

double norm_errorX

(

const double

input

)

Definition at line 125 of file NnNormalization.cxx.

                                      {
  return (input-0.0005)*1000.;
}

norm_errorY()

double norm_errorY

(

const double

input

)

Definition at line 132 of file NnNormalization.cxx.

                                      {
  return (input-0.018)/0.048;
}

norm_etaModule()

double norm_etaModule

(

const double

input

)

Definition at line 101 of file NnNormalization.cxx.

                                         {
  return input*0.5;
}

norm_layerNumber()

double norm_layerNumber

(

const double

input

)

Definition at line 57 of file NnNormalization.cxx.

                                           {
  return (input-0.95)/0.8;
}

norm_layerType()

double norm_layerType

(

const double

input

)

Definition at line 64 of file NnNormalization.cxx.

                                         {
  return input/0.65;
}

norm_phi()

double norm_phi

(

const double

input

)

Definition at line 71 of file NnNormalization.cxx.

                                   {
  return (input-0.1)*10.;
}

norm_phiBS()

double norm_phiBS

(

const double

input

)

Definition at line 86 of file NnNormalization.cxx.

                                     {
  return (input-0.1)*10.;
}

norm_pitch()

double norm_pitch	(	const double	input,
		const bool	addIBL
	)

Definition at line 32 of file NnNormalization.cxx.

                                                       {
  if (!addIBL){
    if (roughlyEqual(input,0.4)) return -0.5;
    if (roughlyEqual(input,0.6)) return +0.5;
    //sroe, changed in response to ATLASRECTS-1827
    return std::numeric_limits<double>::quiet_NaN();
    //throw SiClusterizationToolNormalizationException();
    //return -1; //never reached!
  } else {
    return (input-0.37)*10.;
  }
}

norm_posX()

double norm_posX	(	const double	input,
		const bool	recenter
	)

Definition at line 108 of file NnNormalization.cxx.

                                                        {
  if (recenter) return (input)/0.41;
  return (input-(-0.58))/0.41;
}

norm_posY()

double norm_posY

(

const double

input

)

Definition at line 118 of file NnNormalization.cxx.

                                    {
  return input/0.34;
}

norm_rawToT()

double norm_rawToT

(

const double

input

)

Definition at line 16 of file NnNormalization.cxx.

                                      {
  return (input-21.)/12.;
}

norm_theta()

double norm_theta

(

const double

input

)

Definition at line 79 of file NnNormalization.cxx.

                                     {
  return (input)/0.8;
}

norm_thetaBS()

double norm_thetaBS

(

const double

input

)

Definition at line 94 of file NnNormalization.cxx.

                                       {
  return (input)/0.8;
}

norm_ToT()

double norm_ToT

(

const double

input

)

Definition at line 24 of file NnNormalization.cxx.

                                   {
  return (input-15000.)/15000.;
}

roughlyEqual()

bool roughlyEqual ( const double  d, const double  target, const double  tolerance = 0.001  )

inline

Definition at line 12 of file NnNormalization.cxx.

                                                                               {
    return (fabs(d-target)<tolerance);
}